Title :
Fuzzy modeling and simulation of a single item inventory system with variable demand
Author :
Yimer, A.D. ; Demirli, Kudret
Author_Institution :
Dept. of Mech. & Ind. Eng., Concordia Univ., Montreal, Que., Canada
Abstract :
This paper describes the performance achieved by a fuzzy inventory control simulation model in a continuous review inventory system. A single item inventory with non-stationary demand, and fixed operating costs is considered for analysis. A weighted moving average crisp model, which operates under similar inventory environment, is also developed to evaluate the behavior of the fuzzy inventory controller over a given operating-horizon.
Keywords :
decision support systems; forecasting theory; fuzzy set theory; modelling; stock control; continuous review inventory system; fixed operating costs; fuzzy inventory control simulation model; fuzzy modeling; nonstationary demand; single item inventory; single item inventory system simulation; variable demand; weighted moving average crisp model; Costs; Economic forecasting; Fuzzy control; Fuzzy reasoning; Fuzzy systems; Industrial engineering; Inventory control; PD control; Pi control; Uncertainty;
Conference_Titel :
Fuzzy Information, 2004. Processing NAFIPS '04. IEEE Annual Meeting of the
Print_ISBN :
0-7803-8376-1
DOI :
10.1109/NAFIPS.2004.1337440